Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/34501
Title: STUDY ON DYNAMIC PARAMETERS MODEL OF MICROSCOPIC PEDESTRIAN SIMULATION
Authors: MD. ASIF IMRAN
Keywords: Cellular Automaton, Pedestrian, Computer Modelling, Microscopic Simulation, Dynamic Parameters Model, Sensitivity Analysis
Issue Date: 13-Jan-2012
Source: MD. ASIF IMRAN (2012-01-13). STUDY ON DYNAMIC PARAMETERS MODEL OF MICROSCOPIC PEDESTRIAN SIMULATION. ScholarBank@NUS Repository.
Abstract: Microscopic simulation modelling is useful in performance assessment of pedestrian facilities. Traditional pedestrian simulation models suffer from computational inefficiency when simulating a large crowd, which can be alleviated by using Cellular Automaton (CA). One of the CA based pedestrian simulation models is the Dynamic Parameters Model (DPM), which is solely based on theoretical considerations necessitating an in-depth study on it. This research performs a critique of DPM to identify its strengths and weaknesses and to suggest an improved DPM. For this purpose, a reconstruction of DPM was carried out using MATLAB. To validate the reconstruction, a statistical analysis has been performed to check the agreement between results. A sensitivity analysis has been undertaken to investigate the effect of various input parameters on macroscopic quantities revealing a distinct pattern. The strength of the model is that at subcritical densities, the model demonstrates self organisation phenomenon observed in real pedestrian traffic. The weakness is that, beyond the critical density, the system moves into a jammed state behaving in a way far from reality. Finally, an improved DPM has been suggested addressing the shortcomings of the original DPM.
URI: http://scholarbank.nus.edu.sg/handle/10635/34501
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
ImranMA.pdf1.82 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

378
checked on Dec 18, 2017

Download(s)

304
checked on Dec 18, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.